Channel allocation of mobile cellular network based on graph theory
One of the important features of mobile cellular network is reuse of logical channels (frequency, time slot or code) which makes an extra burden to a network planar in their assignment among different cells. In real life this work is done in such a way to minimize both cochannel and adjacent channel...
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| creator | Islam, M.I. Hossain, A.B.M.S. |
| description | One of the important features of mobile cellular network is reuse of logical channels (frequency, time slot or code) which makes an extra burden to a network planar in their assignment among different cells. In real life this work is done in such a way to minimize both cochannel and adjacent channel interference. The tusk become more cumbersome under dynamic channel allocation (DCA) environment compare to that of fixed channel allocation (FCA). This paper proposes a channel assignment model based on concept of graph coloring and graph equivalent matrix theorem. Authors have developed an algorithm in their own way to yield optimum solution of channel allocation problem taking demand vector, graph equivalent matrix, interference matrix and list of channel as input parameters. |
| doi_str_mv | 10.1109/TENCON.2004.1414649 |
| format | Conference Proceeding |
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Authors have developed an algorithm in their own way to yield optimum solution of channel allocation problem taking demand vector, graph equivalent matrix, interference matrix and list of channel as input parameters.</description><subject>Applied sciences</subject><subject>Channel allocation</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Electronic mail</subject><subject>Equipments and installations</subject><subject>Exact sciences and technology</subject><subject>Graph theory</subject><subject>Information, signal and communications theory</subject><subject>Interference</subject><subject>Land mobile radio cellular systems</subject><subject>Matrix converters</subject><subject>Mobile computing</subject><subject>Mobile radiocommunication systems</subject><subject>Radio spectrum management</subject><subject>Radiocommunications</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Symmetric matrices</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>Transmission line matrix methods</subject><isbn>0780385608</isbn><isbn>9780780385603</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkD1rwzAYhAWl0DbNL8iipaNdyfoei0k_ICSL9_DKflW7VWwju5T8-xpSyC13cA83HCEbznLOmXuutvvysM8LxmTOJZdauhvywIxlwirN7B1ZT9MXWySc1srek7Jsoe8xUohxqGHuhp4OgZ4G30WkNcb4EyHRHuffIX1TDxM2dGE-E4wtnVsc0vmR3AaIE67_fUWq121Vvme7w9tH-bLLOsVc5gteKDQhMIOey6AlWhZEbYE7EIK5JXlvUUHhjPS60c545RqjA-e1ArEiT5fZEaYaYkjQ1910HFN3gnQ-cqO04sYt3ObCdYh4rS93iD_Z_1Xy</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Islam, M.I.</creator><creator>Hossain, A.B.M.S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>Channel allocation of mobile cellular network based on graph theory</title><author>Islam, M.I. ; Hossain, A.B.M.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i509-b2125e7ff07eb14f64e80f3c8a19a3309c8abb8e5a2974b6d697b59d76f11c5a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Channel allocation</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Electronic mail</topic><topic>Equipments and installations</topic><topic>Exact sciences and technology</topic><topic>Graph theory</topic><topic>Information, signal and communications theory</topic><topic>Interference</topic><topic>Land mobile radio cellular systems</topic><topic>Matrix converters</topic><topic>Mobile computing</topic><topic>Mobile radiocommunication systems</topic><topic>Radio spectrum management</topic><topic>Radiocommunications</topic><topic>Signal and communications theory</topic><topic>Signal, noise</topic><topic>Symmetric matrices</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Transmission and modulation (techniques and equipments)</topic><topic>Transmission line matrix methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Islam, M.I.</creatorcontrib><creatorcontrib>Hossain, A.B.M.S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Islam, M.I.</au><au>Hossain, A.B.M.S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Channel allocation of mobile cellular network based on graph theory</atitle><btitle>2004 IEEE Region 10 Conference TENCON 2004</btitle><stitle>TENCON</stitle><date>2004</date><risdate>2004</risdate><volume>B</volume><spage>529</spage><epage>532 Vol. 2</epage><pages>529-532 Vol. 2</pages><isbn>0780385608</isbn><isbn>9780780385603</isbn><abstract>One of the important features of mobile cellular network is reuse of logical channels (frequency, time slot or code) which makes an extra burden to a network planar in their assignment among different cells. In real life this work is done in such a way to minimize both cochannel and adjacent channel interference. The tusk become more cumbersome under dynamic channel allocation (DCA) environment compare to that of fixed channel allocation (FCA). This paper proposes a channel assignment model based on concept of graph coloring and graph equivalent matrix theorem. Authors have developed an algorithm in their own way to yield optimum solution of channel allocation problem taking demand vector, graph equivalent matrix, interference matrix and list of channel as input parameters.</abstract><cop>Piscataway NJ</cop><pub>IEEE</pub><doi>10.1109/TENCON.2004.1414649</doi></addata></record> |
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| identifier | ISBN: 0780385608 |
| ispartof | 2004 IEEE Region 10 Conference TENCON 2004, 2004, Vol.B, p.529-532 Vol. 2 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Applied sciences Channel allocation Detection, estimation, filtering, equalization, prediction Electronic mail Equipments and installations Exact sciences and technology Graph theory Information, signal and communications theory Interference Land mobile radio cellular systems Matrix converters Mobile computing Mobile radiocommunication systems Radio spectrum management Radiocommunications Signal and communications theory Signal, noise Symmetric matrices Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Transmission line matrix methods |
| title | Channel allocation of mobile cellular network based on graph theory |
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